Entity Relation Extraction from News Articles in Portuguese for Competitive Intelligence Based on BERT

Author:

Reyes Daniel De LosORCID,Trajano DouglasORCID,Manssour Isabel HarbORCID,Vieira RenataORCID,Bordini Rafael H.ORCID

Publisher

Springer International Publishing

Reference30 articles.

1. Batista, D.S., Forte, D., Silva, R., Martins, B., Silva, M.: Extracçao de relaçoes semânticas de textos em português explorando a dbpédia e a wikipédia. Linguamatica 5(1), 41–57 (2013)

2. Bruckschen, M., De Souza, J.G.C., Vieira, R., Rigo, S., Mota, C., Santos, D.: Sistema serelep para o reconhecimento de relaçoes entre entidades mencionadas (2008)

3. Chaves, M.: Geo-ontologias e padrões para reconhecimento de locais e de suas relações em textos: o sei-geo no segundo harem. Cristina Mota; Diana Santos (ed) Desafios na avaliação conjunta do reconhecimento de entidades mencionadas: O Segundo HAREM Linguateca 2008 (2008)

4. Cheng, W., Xiong, J.: Entity relationship extraction based on bi-channel neural network. In: 2020 2nd International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI), pp. 349–352. IEEE (2020)

5. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);S Collovini,2020

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1. A Survey on Document-Level Relation Extraction: Methods and Applications;Proceedings of the 3rd International Conference on Internet, Education and Information Technology (IEIT 2023);2023

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